Historical Swing High-Low Gann IndicatorThe Historical Swing High-Low Gann Indicator is a powerful tool designed to track and visualize key market swing points over time. This indicator identifies significant swing highs and lows within a specified time frame and draws connecting lines between these points, allowing traders to observe the natural ebb and flow of the market.
What sets this indicator apart is its ability to maintain all previously drawn swing lines, creating a comprehensive historical view of market movements. Additionally, the indicator projects Gann-style lines from the most recent swing highs and lows, providing traders with potential future support and resistance levels based on the geometric progression of price action.
Features:
Swing Detection: Automatically detects significant swing highs and lows over a user-defined period (default is 3 hours).
Persistent Historical Lines: Keeps all previously drawn lines, offering a complete visual history of the market's swing points.
Gann-Style Projections: Draws forward-looking lines from the latest swing points to help predict possible future market levels.
Customizable Parameters: Allows users to adjust the swing detection period to suit different trading styles and time frames.
This indicator is ideal for traders who rely on price action, support and resistance levels, and Gann theory for their analysis. Whether used in isolation or as part of a broader strategy, the Historical Swing High-Low Gann Indicator provides valuable insights into the market's behavior over time.
在腳本中搜尋"breakout"
Inside Candle StrategyIntroduction
The Inside Candle Breakout Strategy leverages the concept of inside candles as a primary signal for potential breakouts. Unlike common trend-following or scalping strategies, this method focuses on the volatility squeeze indicated by inside candles and aims to capture the momentum that follows these periods of consolidation. The strategy's originality lies in its specific integration of timeframes for signal detection and its application across diverse market conditions without relying on conventional trend indicators.
Strategy Description and Mechanics
Inside Candle Identification: At the heart of this strategy is the detection of inside candles, defined as candles fully contained within the range of the preceding candle. This pattern signifies a temporary balance between buyers and sellers, often preceding significant price movements. The strategy scans for these candles within a user-specified timeframe in the input section of the settings of the strategy, allowing for tailored signal generation based on individual trading preferences.
Entry Points and Market Entries: Upon identifying an inside candle and only once this candle closes, the strategy prepares to enter a trade in the direction of the breakout. Trades are executed in the timeframe selected on the chart, ensuring that entry points are aligned with real-time market movements. This process highlights the strategy's adaptability, making it suitable for various trading styles, from day trading to swing trading.
Overlay Indicator for Enhanced Market Analysis: Accompanying the breakout signals is an overlay indicator comprising two moving averages and a volatility cloud. This feature serves as a secondary tool for market analysis, offering insights into the prevailing market trend and volatility levels. While it doesn't influence the entry or exit signals directly, it provides traders with additional context for refining their decisions, enhancing the strategy's utility. This assistance tool is composed by one moving average and a second line which is calculated adding or subtracting the historical volatility of the asset on the moving average, depending on his momentum.
Strategy Results and Commitment to Realism
Backtesting Protocol: In our commitment to transparency and realism, backtesting results are derived from a dataset that ensures a sufficient number of trades (over 100) to validate the strategy's effectiveness. This approach underscores our dedication to providing traders with reliable and actionable insights.
Risk Management and Trade Sizing: Recognizing the importance of sustainable trading practices, the strategy incorporates strict risk management guidelines. Trades are sized to ensure that only a small percentage of equity is risked on a single trade, adhering to widely accepted risk tolerance levels. The initial account size for this script is set to 10000$.
Strategy Defaults and Justification: The default properties of the strategy, including the risk-reward ratio, average length for moving averages, and other parameters, are carefully chosen based on extensive testing and analysis. These settings represent a balanced approach, aiming to optimize the strategy's performance across a variety of market conditions.
Strategy Components:
- Inside Candles: An inside candle occurs when a candle's high and low are completely contained within the high and low of the previous candle. This pattern indicates a period of consolidation or indecision in the market, often preceding a significant price movement. The strategy detects inside candles based on the user-selected timeframe, allowing traders to capture potential breakouts.
Indicator Overlays:
- Moving Average: A simple moving average (SMA) is calculated over a user-defined length (`Average Length`), providing a dynamic baseline to gauge the market's direction. The strategy offers an option (`Show Moving Average`) to display or hide this moving average on the chart, giving traders control over the visual complexity.
- Volatility Measurement: Alongside the moving average, the strategy assesses market volatility using the standard deviation of the closing prices over the same period defined by the `Average Length`. The moving average is adjusted upwards or downwards by this volatility measure, creating a dynamic channel that reflects the current market conditions.
- Color Gradients for Volatility: The strategy uses a color gradient to fill the area between the moving average and its volatility-adjusted counterpart. This gradient visually represents the volatility level, transitioning from gray (low volatility) to a lighter shade (higher volatility), aiding in the assessment of market sentiment and volatility.
Trading Entries:
- Long Entry: A long position is triggered when the closing price exceeds the high of an inside candle, indicating potential bullish momentum. The strategy places a stop-loss at the low of the inside candle and sets a take-profit level based on the predefined risk-reward ratio (`RR Ratio`).
- Short Entry: Conversely, a short position is initiated when the closing price falls below the low of an inside candle, suggesting bearish pressure. A stop-loss is set at the high of the inside candle, with the take-profit level adjusted according to the risk-reward ratio.
Customization Settings:
- Timeframe: Traders can select the desired timeframe for inside candle detection, tailoring the strategy to fit various trading styles and time horizons.
- RR Ratio: The risk-reward ratio is adjustable, allowing traders to manage the potential risk and return of each trade according to their risk tolerance.
- Average Length: This setting determines the period over which the moving average and volatility are calculated, affecting the sensitivity of the strategy to price movements.
- Visual Settings: Users can customize the appearance of the strategy on their charts, including the colors of the moving average and volatility lines, as well as the line width, enhancing chart readability and personal preference adherence.
Disclaimer
Trading involves significant risk, and it is crucial for traders to conduct their own due diligence before engaging with any strategy. The Inside Candle Breakout Strategy is presented for informational purposes only and does not constitute financial advice.
Better RSIThis script is an enhancement of the original RSI (Relative Strength Index) indicator for TradingView. While the core RSI functionality remains intact, several powerful features have been added to make it a "Better RSI" tool for traders and investors.
Key Features:
1. Divergence Detection: The script now includes both Bullish and Hidden Divergence detection. Bullish Divergence helps identify potential trend reversals when the price makes lower lows, but the RSI makes higher lows. Conversely, Hidden Divergence highlights instances where the RSI and price move in opposite directions, signaling potential trend continuation or reversal.
2. Bollinger Band Breakout Highlight: Users have the option to select "Bollinger Bands" as the Moving Average (MA) type in the settings. When enabled, this feature highlights RSI-Bollinger Band breakouts. It's a valuable tool for traders looking to capitalize on RSI movements in conjunction with Bollinger Bands.
3. Customizable Settings: The script provides a range of customizable settings, allowing you to adjust parameters like RSI length, MA type, Bollinger Bands standard deviation, and more to suit your trading strategy.
4. Clear Visuals: The script offers clear visual cues, with colored backgrounds indicating RSI overbought and oversold levels, as well as extreme breakouts. Bullish and bearish divergence points are also marked with distinct crosses, making it easy to spot potential trading opportunities.
Whether you're a seasoned trader or just starting, the "Better RSI" script empowers you with advanced tools to make more informed trading decisions. Use it to identify potential trend reversals, continuation patterns, and RSI-Bollinger Band breakouts in the market.
Fair Value Gap [MyTradingCoder]Introducing the "Fair Value Gap" indicator, a powerful tool designed to identify and visualize areas of potential market gaps where leftover orders may reside. This indicator utilizes price action analysis, specifically focusing on fair value gaps that occur between the current candle and the candle two bars prior.
The Fair Value Gap indicator draws customizable zones on the chart, representing bullish or bearish areas with distinct green or red colors. These zones highlight market gaps where price action has left a void, indicating the possibility of significant order activity in that region.
Key Features:
Liquidity Zone: Utilize the Fair Value Gap zones as areas of liquidity, offering potential entry points for trades.
Support/Resistance Indicator: Configure the indicator to extend beyond the initial breakout or gap fill, allowing it to act as a support/resistance zone indicator.
The Fair Value Gap indicator has several adjustable settings to customize its behavior according to your trading preferences. These settings include:
Invalidation Outcome: Choose how the fair value gap zone is treated when it becomes invalidated. Options include:
-Stop Updating: Maintain the gap zone in its current state without further updates.
-Delete: Completely remove the fair value gap from the screen.
Invalidation Method: Determine the logic that invalidates the fair value gap. Options include:
-Gap Fill: Visually shrink the zone as price action closes the gap until it is completely filled, at which point it gets deleted entirely.
-Number Of Breakouts: Invalidate the gap after a certain number of breaks or flips over the zone's border. Configure the allowed number of breakouts with the "Breakouts Until Invalidation" input.
-Age Of Gap: Invalidate the gap after a specified number of bars have passed since its creation. Set the threshold with the "Bars Until Invalidation" input.
Color Customization: Customize the appearance of the fair value gap zones with various color inputs, including bullish and bearish border colors, middle line color (shared for both bullish and bearish gaps), bullish and bearish background colors.
Line Width: Adjust the width of the border lines and the center line within the fair value gap zone for better visual clarity.
Please note that the Fair Value Gap indicator is a valuable tool but should be used alongside other technical analysis methods to make well-informed trading decisions. It does not guarantee profitable trades but aims to provide insights into potential areas of interest.
Discover opportunities within market gaps and leverage the power of leftover orders with the Fair Value Gap indicator—an indispensable asset in your trading toolkit.
ATR DeltaThe ATR Delta indicator is based on the concept of Average True Range (ATR), which reflects the average price range over a specified period. By calculating the difference between current and previous ATR values, the ATR Delta provides valuable insights into volatility shifts in the market. This information can help traders identify periods of heightened or diminished price movement, enabling them to adjust their strategies accordingly.
The ATR Delta indicator consists of two main calculations:
-- ATR Calculation : The Average True Range (ATR) is calculated using the specified length parameter. It measures the average price range (including gaps) during that period. A larger ATR value indicates higher volatility, while a smaller value indicates lower volatility.
-- ATR Delta Calculation : The ATR Delta is calculated by subtracting the ATR value of the previous bar from the current ATR value. This calculation captures the change in volatility between the two periods, providing a measure of how volatility has evolved.
Positive ATR Delta values indicate an increase in volatility compared to the previous period. It suggests that price movements have expanded, potentially indicating a more active market. On the other hand, negative ATR Delta values indicate a decrease in volatility compared to the previous period. It suggests that price movements have contracted, potentially signaling a calmer or range-bound market.
The ATR Delta indicator uses coloration to visually represent the relationship between the ATR Delta, zero, and a signal line:
-- Green color is assigned when the ATR Delta is positive, above the signal line, and increasing. This coloration suggests a scenario of higher volatility, as the market is experiencing upward momentum in price swings.
-- Red color is assigned when the ATR Delta is negative, below the signal line, and decreasing. This coloration suggests a scenario of lower volatility, as the market is experiencing downward momentum in price swings.
-- Gray color is assigned for other cases when the ATR Delta and signal line relationship does not meet the above conditions.
These colors are reflected in the columns of the ATR Delta as well as the bar coloration.
The ATR Delta indicator includes a signal line, which acts as a reference for interpreting the ATR Delta values. The signal line is calculated as a moving average (EMA) of the ATR Delta over a specified length. It helps smooth out the ATR Delta fluctuations, providing a clearer indication of the underlying trend in volatility changes. When the ATR Delta crosses above the signal line, it may suggest a potential increase in volatility, indicating a market that is becoming more active. Conversely, when the ATR Delta crosses below the signal line, it may suggest a potential decrease in volatility, indicating a market that is becoming less active.
The coloration of the signal line in the ATR Delta indicator helps to differentiate between positive and negative values and provides further insight into market sentiment. When the signal line is positive, indicating increasing volatility, it is colored lime. This color choice reinforces the bullish sentiment and signifies potential opportunities for trend continuation or breakouts. On the other hand, when the signal line is negative, indicating decreasing volatility, it is colored fuchsia. This color choice highlights the bearish sentiment and suggests potential range-bound or consolidation periods. These colors are reflected in the background of the indicator.
The ATR Delta indicator offers several potential applications for traders:
-- Volatility Analysis : The ATR Delta is invaluable for understanding and analyzing volatility dynamics in the market. Traders can observe the changes in ATR Delta values and use them to assess the current level of price movement. This information can help determine the appropriate strategies and risk management approaches.
-- Breakout Strategies : Traders often use the ATR Delta to identify periods of increased volatility, which frequently accompany breakouts. By monitoring the ATR Delta, traders can anticipate potential price breakouts and adjust their entry and exit levels accordingly.
-- Trend Confirmation : Combining the ATR Delta with trend-following indicators allows traders to validate the strength of a trend. Higher ATR Delta values during an uptrend may indicate stronger momentum and a higher likelihood of continuation. Conversely, lower ATR Delta values during a downtrend may suggest a potential consolidation phase or trend reversal.
Limitations :
-- Lagging Indicator : The ATR Delta indicator is based on historical data and calculates the difference between current and previous ATR values. As a result, it may lag behind real-time market conditions. Traders should be aware of this delay and consider it when making trading decisions. It is advisable to combine the ATR Delta with other indicators or price action analysis for a more comprehensive assessment of market conditions.
-- Parameter Sensitivity : The ATR Delta indicator's effectiveness can be influenced by the selection of its parameters, such as the length of the ATR and signal line. Different market conditions may require adjustments to these parameters to better capture volatility changes. Traders should carefully test and optimize the indicator's parameters to align with the characteristics of the specific market or asset they are trading.
-- Market Regime Changes : The ATR Delta indicator assumes that volatility changes occur gradually. However, in rapidly changing market regimes or during news events, volatility can spike or drop abruptly, potentially rendering the indicator less effective. Traders should exercise caution and consider using additional tools or techniques to identify and adapt to such market conditions.
The ATR Delta indicator is a valuable tool for traders seeking to analyze and monitor volatility dynamics in the market. By calculating the difference between current and previous ATR values, it provides insights into changes in price movement and helps identify periods of increased or decreased volatility. Traders can leverage the ATR Delta to fine-tune their strategies, validate trend strength, and identify potential breakout opportunities. However, it is essential to recognize the limitations of the indicator, including its lagging nature and sensitivity to parameter selection. By combining the ATR Delta with other technical analysis tools and applying sound risk management practices, traders can enhance their decision-making process and potentially improve their trading outcomes.
ICT HTF Volume Candles (Based on HTF Candles by Fadi)# ICT HTF Volume Candles - Multi-Timeframe Volume Analysis
## Overview
This indicator provides multi-timeframe volume visualization designed to complement price action analysis. It displays volume data from up to 6 higher timeframes simultaneously in a separate panel, allowing traders to identify volume spikes, divergences, and institutional activity without switching between timeframes.
**Original Concept Credits:** This indicator builds upon the HTF Candles framework by Fadi, adapting it specifically for volume analysis with enhanced features including gap-filling for extended hours, multiple scaling methods, and advanced synchronization.
## What Makes This Script Original
### Key Innovations:
1. **Three Volume Scaling Methods:**
- **Per-HTF Auto Scale:** Each timeframe scales independently for detailed comparison
- **Global Auto Scale:** All timeframes use unified scale for relative volume comparison
- **Manual Scale:** User-defined maximum for consistent analysis across sessions
2. **Bullish/Bearish Volume Differentiation:**
- Volume bars colored based on price movement (close vs open)
- Separate styling for bullish (green) and bearish (red) volume periods
- Helps identify whether volume supports price direction
3. **Advanced Time Synchronization:**
- Custom daily candle open times (Midnight, 8:30 AM, 9:30 AM ET)
- Timezone-aware calculations for New York trading hours
- Real-time countdown timers for each timeframe
- **Gap-filling technology** for continuous display during extended hours and weekends
4. **Flexible Display Options:**
- Configurable spacing and positioning
- Label placement (top, bottom, or both)
- Day-of-week or time interval labels on candles
- Works reliably in backtesting and live trading
## How It Works
### Volume Calculation
The indicator uses `request.security()` with optimized parameters to fetch volume data from higher timeframes:
- **Volume Open/High/Low/Close (OHLC):** Tracks volume changes within each HTF candle
- **Color Logic:** Compares HTF close vs open prices to determine bullish/bearish classification
- **Alignment:** All volume bars share a common baseline for easy visual comparison
- **Gap Handling:** Uses `gaps=barmerge.gaps_off` to maintain continuity during non-trading hours
### Technical Implementation
```
1. Monitors HTF timeframe changes using request.security() with lookahead
2. Creates new VolumeCandle object when HTF bar opens
3. Updates current candle's volume H/L/C on each chart bar
4. Applies selected scaling method to normalize display height
5. Repositions all candles and labels on each bar update
6. Fills gaps automatically during extended hours for consistent display
```
### Scaling Methods Explained
**Method 1 - Auto Scale per HTF:**
Each timeframe displays volume relative to its own maximum. Best for identifying patterns within each individual timeframe.
**Method 2 - Global Auto Scale:**
All timeframes share the same scale based on the highest volume across all HTFs. Best for comparing relative volume strength between timeframes.
**Method 3 - Manual Scale:**
User sets maximum volume value. Best for maintaining consistent scale across different trading sessions or instruments.
## How to Use This Indicator
### Setup
1. Add indicator to your chart (it appears in a separate panel below price)
2. Configure up to 6 higher timeframes (default: 5m, 15m, 1H, 4H, 1D, 1W)
3. Set number of candles to display for each timeframe
4. Choose volume scaling method based on your analysis needs
5. Enable "Fix gaps in non-trading hours" for extended hours trading (enabled by default)
### Interpretation
**Volume Spikes:**
- Sudden increase in volume height indicates institutional activity or strong conviction
- Compare volume between timeframes to identify where the real money is moving
- Look for volume spikes that appear across multiple timeframes simultaneously
**Bullish vs Bearish Volume:**
- **Green volume bars:** Price closed higher (buying pressure)
- **Red volume bars:** Price closed lower (selling pressure)
- High green volume during uptrend = confirmation of strength
- High red volume during downtrend = confirmation of weakness
- High volume opposite to trend = potential reversal warning
**Multi-Timeframe Context:**
- **5m/15m:** Scalping and day trading activity
- **1H/4H:** Swing trading and intraday institutional flows
- **Daily/Weekly:** Major position building and long-term trends
**Divergences:**
- Price making new highs but volume declining = weakening trend
- Volume increasing while price consolidates = potential breakout brewing
- Price breaks level but volume doesn't confirm = likely false breakout
### Practical Examples
**Example 1 - Institutional Confirmation:**
Price breaks above resistance. Check volume across timeframes:
- 5m shows spike = retail interest
- 15m + 1H + 4H all show spikes = institutional confirmation
- **Trade confidence: HIGH**
**Example 2 - False Breakout Detection:**
Price breaks resistance with:
- High volume on 5m only
- Normal/low volume on 1H and 4H
- **Interpretation:** Likely retail trap, institutions not participating
- **Action:** Wait for pullback or avoid
**Example 3 - Accumulation Phase:**
Price ranges sideways but:
- Daily volume gradually increasing
- Weekly volume above average
- **Interpretation:** Smart money accumulating
- **Action:** Prepare for breakout in direction of volume
**Example 4 - Volume Divergence:**
Price makes new high:
- Current high has lower volume than previous high across all timeframes
- **Interpretation:** Weakening momentum
- **Action:** Consider profit-taking or reversal trade
## Configuration Parameters
### Timeframe Settings
- **HTF 1-6:** Select timeframes (must be higher than chart timeframe)
- **Max Display:** Number of candles to show per timeframe (1-50)
- **Limit to Next HTFs:** Display only first N enabled timeframes (1-6)
### Styling
- **Bull/Bear Colors:** Separate colors for body, border, and wick
- **Padding from current candles:** Distance offset from live price action
- **Space between candles:** Gap between individual volume bars
- **Space between Higher Timeframes:** Gap between different timeframe groups
- **Candle Width:** Thickness of volume bars (1-4, multiplied by 2)
### Volume Settings
- **Volume Scale Method:** Choose 1, 2, or 3
- 1 = Auto Scale per HTF (each TF independent)
- 2 = Global Auto Scale (all TF unified)
- 3 = Manual Scale (user-defined max)
- **Auto Scale Volume:** Enable/disable automatic scaling
- **Manual Scale Max Volume:** Set maximum when using Method 3
### Label Settings
- **HTF Label:** Show/hide timeframe names with color and size options
- **Label Positions:** Display at Top, Bottom, or Both
- **Label Alignment:** Align centered or Follow Candles
- **Remaining Time:** Show countdown timer until next HTF candle
- **Interval Value:** Display day-of-week or time on each candle
### Custom Daily Candle
- **Enable Custom Daily:** Override default daily candle timing
- **Open Time Options:**
- **Midnight:** Standard 00:00 ET daily open
- **8:30 AM:** Align with economic data releases
- **9:30 AM:** Align with NYSE market open
- Useful for specific trading strategies or market alignment
### Advanced Settings
- **Fix gaps in non-trading hours:** Maintains alignment during extended hours and weekends (recommended: ON)
- Prevents visual gaps during forex weekend closures
- Ensures consistent display during crypto 24/7 trading
- Improves backtesting reliability
## Best Practices
1. **Pair with Price Action:** Use alongside HTF price candles indicator for complete picture
2. **Start Simple:** Enable 2-3 timeframes initially (e.g., 15m, 1H, 4H), add more as needed
3. **Match Settings:** Use same candle width/spacing as companion price indicator for visual alignment
4. **Scale Appropriately:**
- Use **Global scale** (Method 2) when comparing timeframes
- Use **Per-HTF scale** (Method 1) for pattern analysis within each timeframe
- Use **Manual scale** (Method 3) for consistent day-to-day comparison
5. **Watch for Volume Clusters:** High volume appearing simultaneously across multiple HTFs signals significant market events
6. **Confirm Breakouts:** Always check if volume supports the price movement across higher timeframes
7. **Extended Hours:** Keep "Fix gaps" enabled for 24/7 markets (Forex, Crypto) and weekend analysis
## Technical Notes
- **Timezone:** All calculations use America/New_York timezone for consistency
- **Real-time Updates:** Volume and timers update on each tick during market hours
- **Performance:** Optimized with max_bars_back=5000 for extensive historical analysis
- **Compatibility:** Works on all instruments with volume data (Stocks, Forex, Crypto, Futures)
- **Gap Handling:** Uses `barmerge.gaps_off` to fill data gaps during non-trading periods
- **Backtesting:** Uses `lookahead=barmerge.lookahead_on` for stable historical data without repainting
- **Data Continuity:** Automatically handles market closures, weekends, and extended hours
## Updates & Improvements
**Version 2.0 (Current):**
- ✅ Fixed alignment issues during extended hours and weekends
- ✅ Eliminated repainting in backtesting
- ✅ Added gap-filling technology for continuous display
- ✅ Improved data synchronization across all timeframes
- ✅ Enhanced NA value handling for data integrity
- ✅ Added advanced settings group for user control
## Support
For questions, suggestions, or feedback, please comment on the publication or message the author.
---
**Disclaimer:** This indicator is for educational and informational purposes only. It does not constitute financial advice. Past performance is not indicative of future results. Always perform your own analysis and implement proper risk management before making trading decisions.
🚀 Ultimate Trading Tool + Strat Method🚀 Ultimate Trading Tool + Strat Method - Complete Breakdown
Let me give you a comprehensive overview of this powerful indicator!
🎯 What This Indicator Does:
This is a professional-grade, all-in-one trading system that combines two proven methodologies:
1️⃣ Technical Analysis System (Original)
Advanced trend detection using multiple EMAs
Momentum analysis with MACD
RSI multi-timeframe analysis
Volume surge detection
Automated trendline drawing
2️⃣ Strat Method (Pattern Recognition)
Inside bars, outside bars, directional bars
Classic patterns: 2-2, 1-2-2
Advanced patterns: 3-1-2, 2-1-2, F2→3
Timeframe continuity filters
📊 How It Generates Signals:
Technical Analysis Signals (Green/Red Triangles):
Buy Signal Triggers When:
✅ Price above EMA 21 & 50 (uptrend)
✅ MACD histogram rising (momentum)
✅ RSI between 30-70 (not overbought/oversold)
✅ Volume surge above 20-period average
✅ Price breaks above resistance trendline
Scoring System:
Trend alignment: +1 point
Momentum: +1 point
RSI favorable: +1 point
Trendline breakout: +2 points
Minimum score required based on sensitivity setting
Strat Method Signals (Blue/Orange Labels):
Pattern Recognition:
2-2 Setup: Down bar → Up bar (or reverse)
1-2-2 Setup: Inside bar → Down bar → Up bar
3-1-2 Setup: Outside bar → Inside bar → Up bar
2-1-2 Setup: Down bar → Inside bar → Up bar
F2→3 Setup: Failed directional bar becomes outside bar
Confirmation Required:
Must break previous bar's high (buy) or low (sell)
Optional timeframe continuity (daily & weekly aligned)
💰 Risk Management Features:
Dynamic Stop Loss & Take Profit:
ATR-Based: Adapts to market volatility
Stop Loss: Entry - (ATR × 1.5) by default
Take Profit: Entry + (ATR × 3.0) by default
Risk:Reward: Customizable 1:2 to 1:5 ratios
Visual Risk Zones:
Colored boxes show risk/reward area
Dark, bold lines for easy identification
Clear entry, stop, and target levels
🎨 What You See On Screen:
Main Signals:
🟢 Green Triangle "BUY" - Technical analysis long signal
🔴 Red Triangle "SELL" - Technical analysis short signal
🎯 Blue Label "STRAT" - Strat method long signal
🎯 Orange Label "STRAT" - Strat method short signal
Trendlines:
Green lines - Support trendlines (bullish)
Red lines - Resistance trendlines (bearish)
Automatically drawn from pivot points
Extended forward to predict future levels
Stop/Target Levels:
Bold crosses at stop loss levels (red color)
Bold crosses at take profit levels (green color)
Line width = 3 for maximum visibility
Trade Zones:
Light green boxes - Long trade risk/reward zone
Light red boxes - Short trade risk/reward zone
Shows potential profit vs risk visually
📊 Information Dashboard (Top Right):
Shows real-time market conditions:
Main Signal: Current technical signal status
Strat Method: Active Strat pattern
Trend: Bullish/Bearish/Neutral
Momentum: Strong/Weak based on MACD
Volume: High/Normal compared to average
TF Continuity: Daily/Weekly alignment
RSI: Current RSI value with color coding
Support/Resistance: Current trendline levels
🔔 Alert System:
Entry Alerts:
Technical Signals:
🚀 BUY SIGNAL TRIGGERED!
Type: Technical Analysis
Entry: 45.23
Stop: 43.87
Target: 48.95
```
**Strat Signals:**
```
🎯 STRAT BUY TRIGGER!
Pattern: 3-1-2
Entry: 45.23
Trigger Level: 44.56
Exit Alerts:
Target hit notifications
Stop loss hit warnings
Helps maintain discipline
⚙️ Customization Options:
Signal Settings:
Sensitivity: High/Medium/Low (controls how many signals)
Volume Filter: Require volume surge or not
Momentum Filter: Require momentum confirmation
Strat Settings:
TF Continuity: Require daily/weekly alignment
Pattern Selection: Enable/disable specific patterns
Confirmation Mode: Show only confirmed triggers
Risk Settings:
ATR Multiplier: Adjust stop/target distance
Risk:Reward: Set preferred ratio
Visual Elements: Show/hide any component
Visual Settings:
Colors: Customize all signal colors
Display Options: Toggle signals, levels, zones
Trendline Length: Adjust pivot detection period
🎯 Best Use Cases:
Day Trading:
Use low sensitivity setting
Enable all Strat patterns
Watch for high volume signals
Quick in/out trades
Swing Trading:
Use medium sensitivity
Require timeframe continuity
Focus on trendline breakouts
Hold for target levels
Position Trading:
Use high sensitivity (fewer signals)
Require strong momentum
Focus on weekly/daily alignment
Larger ATR multipliers
💡 Trading Strategy Tips:
High-Probability Setups:
Double Confirmation: Technical + Strat signal together
Trend Alignment: All timeframes agree
Volume Surge: Institutional participation
Trendline Break: Clear level breakout
Risk Management:
Always use stops - System provides them
Position sizing - Risk 1-2% per trade
Don't chase - Wait for signal confirmation
Take profits - System provides targets
What Makes Signals Strong:
✅ Both technical AND Strat signals fire together
✅ Timeframe continuity (daily & weekly aligned)
✅ Volume surge confirms institutional interest
✅ Multiple indicators align (trend + momentum + RSI)
✅ Clean trendline breakout with no resistance above (or support below)
⚠️ Common Mistakes to Avoid:
Don't ignore stops - System calculates them for a reason
Don't overtrade - Wait for quality setups
Don't disable volume filter - Unless you know what you're doing
Don't use max sensitivity - You'll get too many signals
Don't ignore timeframe continuity - It filters bad trades
🚀 Why This Indicator is Powerful:
Combines Multiple Edge Sources:
Technical analysis (trend, momentum, volume)
Pattern recognition (Strat method)
Risk management (dynamic stops/targets)
Market structure (trendlines, support/resistance)
Professional Features:
No repainting - signals are final when bar closes
Clear risk/reward before entry
Multiple confirmation layers
Adaptable to any market or timeframe
Beginner Friendly:
Clear visual signals
Automatic calculations
Built-in risk management
Comprehensive dashboard
This indicator essentially gives you everything a professional trader uses - trend analysis, momentum, patterns, volume, risk management - all in one clean package!
Any specific aspect you'd like me to explain in more detail? 🎯RetryClaude can make mistakes. Please double-check responses. Sonnet 4.5
ICT Anchored Market Structures with Validation [LuxAlgo]The ICT Anchored Market Structures with Validation indicator is an advanced iteration of the original Pure-Price-Action-Structures tool, designed for price action traders.
It systematically tracks and validates key price action structures, distinguishing between true structural shifts/breaks and short-term sweeps to enhance trend and reversal analysis. The indicator automatically highlights structural points, confirms breakouts, identifies sweeps, and provides clear visual cues for short-term, intermediate-term, and long-term market structures.
A distinctive feature of this indicator is its exclusive reliance on price patterns. It does not depend on any user-defined input, ensuring that its analysis remains robust, objective, and uninfluenced by user bias, making it an effective tool for understanding market dynamics.
🔶 USAGE
Market structure is a cornerstone of price action analysis. This script automatically detects real-time market structures across short-term, intermediate-term, and long-term levels, simplifying trend analysis for traders. It assists in identifying both trend reversals and continuations with greater clarity.
Market structure shifts and breaks help traders identify changes in trend direction. A shift signals a potential reversal, often occurring when a swing high or low is breached, suggesting a transition in trend. A break, on the other hand, confirms the continuation of an established trend, reinforcing the current direction. Recognizing these shifts and breaks allows traders to anticipate price movement with greater accuracy.
It’s important to note that while a CHoCH may signal a potential trend reversal and a BoS suggests a continuation of the prevailing trend, neither guarantees a complete reversal or continuation. In some cases, CHoCH and BoS levels may act as liquidity zones or areas of consolidation rather than indicating a clear shift or continuation in market direction. The indicator’s validation component helps confirm whether the detected CHoCH and BoS are true breakouts or merely liquidity sweeps.
🔶 DETAILS
🔹 Market Structures
Market structures are derived from price action analysis, focusing on identifying key levels and patterns in the market. Swing point detection, a fundamental concept in ICT trading methodologies and teachings, plays a central role in this approach.
Swing points are automatically identified based exclusively on market movements, without requiring any user-defined input.
🔹 Utilizing Swing Points
Swing points are not identified in real-time as they form. Short-term swing points may appear with a delay of up to one bar, while the identification of intermediate and long-term swing points is entirely dependent on subsequent market movements. Importantly, this detection process is not influenced by any user-defined input, relying solely on pure price action. As a result, swing points are generally not intended for real-time trading scenarios.
Instead, traders often analyze historical swing points to understand market trends and identify potential entry and exit opportunities. By examining swing highs and lows, traders can:
Recognize Trends: Swing highs and lows provide insight into trend direction. Higher swing highs and higher swing lows signify an uptrend, while lower swing highs and lower swing lows indicate a downtrend.
Identify Support and Resistance Levels: Swing highs often act as resistance levels, referred to as Buyside Liquidity Levels in ICT terminology, while swing lows function as support levels, also known as Sellside Liquidity Levels. Traders can leverage these levels to plan their trade entries and exits.
Spot Reversal Patterns: Swing points can form key reversal patterns, such as double tops or bottoms, head and shoulders, and triangles. Recognizing these patterns can indicate potential trend reversals, enabling traders to adjust their strategies effectively.
Set Stop Loss and Take Profit Levels: In ICT teachings, swing levels represent price points with expected clusters of buy or sell orders. Traders can target these liquidity levels/pools for position accumulation or distribution, using swing points to define stop loss and take profit levels in their trades.
Overall, swing points provide valuable information about market dynamics and can assist traders in making more informed trading decisions.
🔹 Logic of Validation
The validation process in this script determines whether a detected market structure shift or break represents a confirmed breakout or a sweep.
The breakout is confirmed when the close price is significantly outside the deviation range of the last detected structural price. This deviation range is defined by the 17-period Average True Range (ATR), which creates a buffer around the detected market structure shift or break.
A sweep occurs when the price breaches the structural level within the deviation range but does not confirm a breakout. In this case, the label is updated to 'SWEEP.'
A visual box is created to represent the price range where the breakout or sweep occurs. If the validation process continues, the box is updated. This box visually highlights the price range involved in a sweep, helping traders identify liquidity events on the chart.
🔶 SETTINGS
The settings for Short-Term, Intermediate-Term, and Long-Term Structures are organized into groups, allowing users to customize swing points, market structures, and visual styles for each.
🔹 Structures
Swings and Size: Enables or disables the display of swing highs and lows, assigns icons to represent the structures, and adjusts the size of the icons.
Market Structures: Toggles the visibility of market structure lines.
Market Structure Validation: Enable or disable validation to distinguish true breakouts from liquidity sweeps.
Market Structure Labels: Displays or hides labels indicating the type of market structure.
Line Style and Width: Allows customization of the style and width of the lines representing market structures.
Swing and Line Colors: Provides options to adjust the colors of swing icons, market structure lines, and labels for better visualization.
🔶 RELATED SCRIPTS
Pure-Price-Action-Structures.
Market-Structures-(Intrabar).
Daytrade Forex Scalper TwinPulse Auction Timer IndicatorWhat this indicator is
TwinPulse Auction Timer is a multi component execution aid designed for liquid markets. It looks for two families of opportunities
Breakouts that leave a compression area after a fresh sweep
Reversals that trigger after a sweep with strong wick polarity
It does not try to predict future prices. It measures present auction conditions with transparent rules and shows you when those conditions align. You get a simple table that says LONG SHORT or WAIT, optional session shading, clean entry and exit level visuals, and alerts you can wire to your workflow.
Why it is different
Most tools show a single signal. TwinPulse combines several independent signals into an Edge Score that you can tune. The components are
• Pulse. A signed measure of wick asymmetry with candle body direction
• Compression. Current true range compared with an average range
• Sweep timer. Bars elapsed since the most recent sweep of a prior high or low
• Bias. Direction of a higher timeframe candle
• Regime. Efficiency ratio and the relation of micro to macro volatility
• Location. Distance from the daily anchored VWAP
• Session. London and New York filter by time windows
Each component is visible in the inputs and in the table so you can understand why a suggestion appears. The script uses request.security() with lookahead off in all calls so it does not peek into the future. Shapes may move while a bar is open since price is still forming. They stop moving when the bar closes.
What you will see on the chart
• L and S shapes on entry bars
• An Exit shape at the price where a stop or the runner target would have been hit
• Four horizontal lines while a trade is active
Entry
Stop
TP1 at one R
TP2 at the runner target expressed in R
• Labels anchored to each line so you can instantly read Entry SL TP1 and TP2 with current values
• Optional shading during your session windows
• Optional daily VWAP line
The table in the top right shows
Action LONG SHORT IN LONG IN SHORT or WAIT
Session ON or OFF
Bias UP DOWN or FLAT
Pulse value
Compression value
Edge L percent and Edge S percent
How it works in detail
Pulse
For each bar the script measures up wick minus down wick divided by range and multiplies that by the sign of the candle body. The result is averaged with pulse_len. Positive numbers indicate aggressive buying. Negative numbers indicate aggressive selling. You control the minimum absolute value with pulse_thr.
Compression
Compression is the ratio of current range to an average range. You can choose the range basis. HL SMA uses simple high minus low smoothed by range_len. ATR uses classic True Range smoothed by atr_len. Values below comp_thr indicate a coil.
Sweeps and the timer
A sweep occurs when price trades beyond the highest high or lowest low seen in the previous sweep_len bars. A strict sweep requires a close back inside that prior range. The timer measures how many bars have elapsed since the last sweep. Breakout setups require the timer to exceed timer_thr.
Bias on a confirmation timeframe
A higher timeframe candle is read with confirm_tf. If close is above open bias is UP. If close is below open bias is DOWN. This keeps breakouts aligned with the prevailing drift.
Regime filters
Efficiency ratio measures the straight line change over the sum of absolute bar to bar changes over er_len. It rises in trendy conditions and falls in noise. Minimum efficiency is controlled by er_min.
Micro to macro volatility ratio compares a short lookback average range with a longer lookback average range using your chosen basis. For breakouts you usually want micro volatility to be near or above macro hence mvr_min. For reversals you often want micro volatility that is not overheated relative to macro hence mvr_max_rev.
VWAP distance gate
Daily anchored VWAP is rebuilt from the open of each session. The script computes the absolute distance from VWAP in units of your average range and requires that distance to exceed vwap_dist_thr when use_vwap_gate is true. This keeps entries away from the mean.
Edge Score
Each gate contributes a weight that you control. The script sums weights of the satisfied gates and divides by the sum of all weights to produce an Edge percent for long and an Edge percent for short. You can then require a minimum Edge percent using edge_min_pct. This turns the indicator into a step by step checklist that you can tune to your taste.
Using the indicator step by step
Choose markets and timeframes
The logic is designed for liquid instruments. Major currency pairs, index futures and cash index CFDs, and the most liquid crypto pairs work well. On intraday use one to fifteen minutes for signals and fifteen to sixty minutes for confirmation. On swing use one hour to one day for signals and one day for confirmation.
Decide on entry mode
Breakouts require a compression area and a sweep timer. Reversals require a strict sweep and a strong pulse. If you are unsure leave the default which allows both.
Pick a range basis
For FX and crypto HL SMA is often stable. For indices and single name equities with gaps ATR can adapt better. If results look too reactive increase the window. If results are too slow reduce it.
Tune regime filters
If you trade trend continuation raise er_min and mvr_min. If you trade counter rotation lower them and rely on the reversal path with the strict sweep condition.
Set the VWAP gate
Enabling it helps you avoid entries at the mean. Push the threshold higher on range bound days. Reduce it in strong trend days.
Table driven decision
Watch Action and the Edge percents. If the script says WAIT you can read Pulse and Compression to see what is missing. Often the best trades appear when both Edge percents are well separated and your session switch is ON.
Use the visuals
When a suggestion triggers you will see entry stop and targets. You can mirror the levels in your own workflow or use alerts.
Consider bar close
Signals are computed in real time. For a strict process you can wait until the bar closes to reduce noise.
Inputs explained with quick guidance
Setup
Signal TF chooses where the logic is computed. Leave blank to use the chart.
Confirm TF sets the higher timeframe for bias.
Session filter restricts signals to the London and New York windows you specify.
Invert flips long and short. It is useful on inverse instruments.
Logic options
Entry mode allows Breakouts Reversals or Both.
Average range basis selects HL SMA or ATR.
ATR length is used when ATR is selected.
Pulse source can be Regular OHLC or Heikin Ashi. Heikin Ashi smooths noisy series, but the script still runs on regular bars and you should publish and use it on standard candles to respect the platform guidance.
Core numeric settings
Sweep lookback controls the size of the liquidity pool targeted by the sweep condition.
Pulse window smooths the wick polarity measure.
Average range window controls your base range when you use HL SMA.
Pulse threshold sets the minimum polarity required.
Compression threshold sets the maximum current range relative to average to consider the market coiled.
Expansion timer bars sets how much time has passed since the last sweep before you allow a breakout.
Regime filters
Efficiency ratio length and minimum value keep you out of aimless drift.
Micro and Macro range lengths feed the micro to macro ratio.
Minimum micro to macro for breakouts and maximum micro to macro for reversals steer the two entry families.
VWAP gate and distance threshold keep you away from the mean.
Levels and trade management visuals
Runner target in R sets TP2 as a multiple of initial risk.
Stop distance as average range multiple sets initial risk size for the visuals.
Move stop to entry after one R touch turns on break even logic once price has traveled one risk unit.
Trail buffer as R fraction uses the last sweep as an anchor and keeps a dynamic stop at a chosen fraction of R beyond it.
Cooldown after exit prevents immediate re entries.
Edge Score
Weights for pulse compression timer bias efficiency ratio micro to macro VWAP gate and session let you align the checklist with your style.
Minimum Edge percent to suggest applies a final filter to LONG or SHORT suggestions.
UI
Table and markers switch the compact dashboard and the shapes.
TP and SL lines and labels draw and name each level.
TP1 partial label percent is printed in the TP1 label for clarity.
Session shading helps with focus.
Daily VWAP line is optional.
Alerts
The script provides alerts for Long Short Exit and for Edge percent crossing the threshold on either side. Use them to drive notifications or to sync with webhooks and your broker integration. Alerts trigger in real time and will repaint during a bar. For conservative use trigger on bar close.
Recommended presets
Intraday trend continuation
Confirm TF fifteen minutes
Entry mode Breakouts
Range basis HL SMA
Pulse threshold near 0.10
Compression threshold near 0.60
Timer around 18
Minimum efficiency ratio near 0.20
Minimum micro to macro near 1.00
VWAP gate enabled with distance near 0.35
Edge minimum 50 or higher
Intraday mean reversion at sweeps
Entry mode Reversals
Pulse source Regular OHLC
Compression threshold can be a little higher
Maximum micro to macro near 1.60
Efficiency ratio minimum lower near 0.12
VWAP gate enabled
Edge minimum 40 to 60
Swing trend continuation
Signal TF one hour
Confirm TF one day
Range basis ATR
ATR length around 14
Average range window 20 to 30
Efficiency ratio minimum near 0.18
Micro to macro windows 12 and 60
Edge minimum 50 to 70
These are starting points only. Your instrument and timeframe will require small adjustments.
Limitations and honest warnings
No indicator is perfect. TwinPulse will mark attractive conditions that do not always lead to profitable trades. During economic releases or very thin liquidity the assumptions behind compression and sweeps may fail. In strong gap environments the HL SMA basis may lag while ATR may overreact. Heikin Ashi pulse can help in choppy markets but it will lag during sharp reversals. Session times use the exchange time of your chart. If you switch symbol or exchange verify the windows.
Edge percent is not a probability of profit. It is the fraction of satisfied gates with your chosen weights. Two traders can set different weights and see different Edge readings on the same bar. That is the design. The score is a guide that helps you act with discipline.
This indicator does not place orders or manage real risk. The lines and labels show a model entry a model stop and two model targets built from the average range at entry and from recent swing points. Use them as references and not as hard rules. Always test on historical data and demo first. Past results do not guarantee anything in the future.
Credits and originality
All code in this publication is original and written for this indicator. The concept of the efficiency ratio originates from Perry Kaufman. The use of a daily anchored volume weighted average price is a standard industry tool. The specific combination of pulse from wick polarity strict sweep timing compression and the tunable Edge Score is unique to this script at the time of publication. If you reuse parts of the open source code in your own work remember to credit the author and contribute meaningful improvements.
How to read the table at a glance
Action reflects your current state.
IN LONG or IN SHORT appears while a trade is active.
LONG or SHORT appears when conditions for entry are met and the Edge threshold is satisfied.
WAIT appears when at least one gate is missing.
Session shows ON during your chosen windows.
Bias shows the color of the confirmation candle.
Pulse is the smoothed polarity number.
Comp shows current range divided by the average range. Values below one mean compression.
Edge L percent and Edge S percent show the long and short checklists as percents.
Final thoughts
Markets move because orders accumulate at certain prices and at certain times. The indicator tries to measure two things that often matter at those turning points. One is the existence of a hidden imbalance revealed by wick polarity and by sweeps of prior extremes. The other is the presence of energy stored in a coil that can release in the direction of a drift. Neither force guarantees profit. Together they can improve your selection and your timing.
Use the defaults for a few days so you learn the personality of the signals. After that adjust one group at a time. Start with the session filter and the Edge threshold. Then tune compression and the timer. Finally adjust the regime filters. Keep notes. You will learn which weights matter for your market and timeframe. The result is a process you can apply with consistency.
Disclaimer
This script and description are for education and analysis. They are not investment advice and they do not promise future results. Use at your own risk. Test thoroughly on historical data and in simulation before considering any live use.
Dr.Yazdani V063 Session OR + A-Lines
**ACD Indicator: Mark Fisher's Opening Range Breakout Strategy**
**Overview**
The ACD system, developed by legendary trader Mark Fisher in his book *The Logical Trader*, is a powerful methodology for identifying high-probability trade setups based on the market's opening range (OR). This indicator automates Layers 1 and 2 of the ACD strategy, helping you spot breakout opportunities, trend direction, and key support/resistance levels. Perfect for day traders, scalpers, and swing traders in forex, stocks, futures, or crypto.
**How It Works**
1. **Opening Range (OR)**: Calculated from the high/low of the first X minutes (default: 30-60 min) of major sessions (e.g., Tokyo, London, New York).
2. **A Levels**: Drawn at a percentage (default: 0.5% of OR range or ATR-based) above/below the OR. A breakout above A-Up signals a bullish setup; below A-Down signals bearish.
3. **C Levels**: Wider levels (default: 1-2% or ATR multiplier) for stronger confirmation. Breakouts here confirm trend strength and filter fakeouts.
4. **Pivot Ranges**: Includes daily and N-day pivots to gauge overall market bias (above pivots = bullish; below = bearish).
**Key Features**
- **Customizable Sessions**: Tokyo (00:00-01:00 GMT), London (08:00-09:00 GMT), New York (13:30-14:30 GMT) – adjustable.
- **ATR Integration**: Uses Average True Range for dynamic A/C levels (period: 14 by default).
- **Visual Alerts**: Color-coded lines (green for bullish, red for bearish) + optional labels for breakouts.
- **Pivot Display**: Show/hide daily or multi-day pivots with customizable colors.
- **Risk Management**: Built-in stop-loss suggestions based on OR width.
**Trading Rules**
- **Bullish Setup**: Price breaks and holds above A-Up → Enter long at C-Up confirmation. Target: Next pivot or 1:2 risk-reward.
- **Bearish Setup**: Price breaks below A-Down → Enter short at C-Down.
- **Avoid Fakeouts**: Wait for stabilization (e.g., close above/below level).
- **Trend Filter**: Combine with PMA (Pivot Moving Average) for Layer 3 confirmation (search "ACD PMA" in TradingView).
**Settings Guide**
- **OR Timeframe**: Session start time and duration (e.g., 30 min).
- **A Multiplier (%)**: Distance for A levels (default: 0.5).
- **C Multiplier (%)**: Distance for C levels (default: 1.0).
- **ATR Period**: For volatility-based levels (default: 14).
- **Show Pivots**: Toggle daily/N-day ranges.
This indicator balances supply/demand by analyzing volume and price action within the opening range. Backtest on your favorite pairs (e.g., EURUSD, BTCUSD) and adjust for your style. Not financial advice – always use proper risk management!
**Inspired by**: Mark Fisher's ACD Methodology. Open-source for community review. Questions? Comment below!
#ACD #OpeningRange #Breakout #DayTrading #FisherStrategy
SuperSmoother MA OscillatorSuperSmoother MA Oscillator - Ehlers-Inspired Lag-Minimized Signal Framework
Overview
The SuperSmoother MA Oscillator is a crossover and momentum detection framework built on the pioneering work of John F. Ehlers, who introduced digital signal processing (DSP) concepts into technical analysis. Traditional moving averages such as SMA and EMA are prone to two persistent flaws: excessive lag, which delays recognition of trend shifts, and high-frequency noise, which produces unreliable whipsaw signals. Ehlers’ SuperSmoother filter was designed to specifically address these flaws by creating a low-pass filter with minimal lag and superior noise suppression, inspired by engineering methods used in communications and radar systems.
This oscillator extends Ehlers’ foundation by combining the SuperSmoother filter with multi-length moving average oscillation, ATR-based normalization, and dynamic color coding. The result is a tool that helps traders identify market momentum, detect reliable crossovers earlier than conventional methods, and contextualize volatility and phase shifts without being distracted by transient price noise.
Unlike conventional oscillators, which either oversimplify price structure or overload the chart with reactive signals, the SuperSmoother MA Oscillator is designed to balance responsiveness and stability. By preprocessing price data with the SuperSmoother filter, traders gain a signal framework that is clean, robust, and adaptable across assets and timeframes.
Theoretical Foundation
Traditional MA oscillators such as MACD or dual-EMA systems react to raw or lightly smoothed price inputs. While effective in some conditions, these signals are often distorted by high-frequency oscillations inherent in market data, leading to false crossovers and poor timing. The SuperSmoother approach modifies this dynamic: by attenuating unwanted frequencies, it preserves structural price movements while eliminating meaningless noise.
This is particularly useful for traders who need to distinguish between genuine market cycles and random short-term price flickers. In practical terms, the oscillator helps identify:
Early trend continuations (when fast averages break cleanly above/below slower averages).
Preemptive breakout setups (when compressed oscillator ranges expand).
Exhaustion phases (when oscillator swings flatten despite continued price movement).
Its multi-purpose design allows traders to apply it flexibly across scalping, day trading, swing setups, and longer-term trend positioning, without needing separate tools for each.
The oscillator’s visual system - fast/slow lines, dynamic coloration, and zero-line crossovers - is structured to provide trend clarity without hiding nuance. Strong green/red momentum confirms directional conviction, while neutral gray phases emphasize uncertainty or low conviction. This ensures traders can quickly gauge the market state without losing access to subtle structural signals.
How It Works
The SuperSmoother MA Oscillator builds signals through a layered process:
SuperSmoother Filtering (Ehlers’ Method)
At its core lies Ehlers’ two-pole recursive filter, mathematically engineered to suppress high-frequency components while introducing minimal lag. Compared to traditional EMA smoothing, the SuperSmoother achieves better spectral separation - it allows meaningful cyclical market structures to pass through, while eliminating erratic spikes and aliasing. This makes it a superior preprocessing stage for oscillator inputs.
Fast and Slow Line Construction
Within the oscillator framework, the filtered price series is used to build two internal moving averages: a fast line (short-term momentum) and a slow line (longer-term directional bias). These are not plotted directly on the chart - instead, their relationship is transformed into the oscillator values you see.
The interaction between these two internal averages - crossovers, separation, and compression - forms the backbone of trend detection:
Uptrend Signal : Fast MA rises above the slow MA with expanding distance, generating a positive oscillator swing.
Downtrend Signal : Fast MA falls below the slow MA with widening divergence, producing a negative oscillator swing.
Neutral/Transition : Lines compress, flattening the oscillator near zero and often preceding volatility expansion.
This design ensures traders receive the information content of dual-MA crossovers while keeping the chart visually clean and focused on the oscillator’s dynamics.
ATR-Based Normalization
Markets vary in volatility. To ensure the oscillator behaves consistently across assets, ATR (Average True Range) normalization scales outputs relative to prevailing volatility conditions. This prevents the oscillator from appearing overly sensitive in calm markets or too flat during high-volatility regimes.
Dynamic Color Coding
Color transitions reflect underlying market states:
Strong Green : Bullish alignment, momentum expanding.
Strong Red : Bearish alignment, momentum expanding.
These visual cues allow traders to quickly gauge trend direction and strength at a glance, with expanding colors indicating increasing conviction in the underlying momentum.
Interpretation
The oscillator offers a multi-dimensional view of price dynamics:
Trend Analysis : Fast/slow line alignment and zero-line interactions reveal trend direction and strength. Expansions indicate momentum building; contractions flag weakening conditions or potential reversals.
Momentum & Volatility : Rapid divergence between lines reflects increasing momentum. Compression highlights periods of reduced volatility and possible upcoming expansion.
Cycle Awareness : Because of Ehlers’ DSP foundation, the oscillator captures market cycles more cleanly than conventional MA systems, allowing traders to anticipate turning points before raw price action confirms them.
Divergence Detection : When oscillator momentum fades while price continues in the same direction, it signals exhaustion - a cue to tighten stops or anticipate reversals.
By focusing on filtered, volatility-adjusted signals, traders avoid overreacting to noise while gaining early access to structural changes in momentum.
Strategy Integration
The SuperSmoother MA Oscillator adapts across multiple trading approaches:
Trend Following
Enter when fast/slow alignment is strong and expanding:
A fast line crossing above the slow line with expanding green signals confirms bullish continuation.
Use ATR-normalized expansion to filter entries in line with prevailing volatility.
Breakout Trading
Periods of compression often precede breakouts:
A breakout occurs when fast lines diverge decisively from slow lines with renewed green/red strength.
Exhaustion and Reversals
Oscillator divergence signals weakening trends:
Flattening momentum while price continues trending may indicate overextension.
Traders can exit or hedge positions in anticipation of corrective phases.
Multi-Timeframe Confluence
Apply the oscillator on higher timeframes to confirm the directional bias.
Use lower timeframes for refined entries during compression → expansion transitions.
Technical Implementation Details
SuperSmoother Algorithm (Ehlers) : Recursive two-pole filter minimizes lag while removing high-frequency noise.
Oscillator Framework : Fast/slow MAs derived from filtered prices.
ATR Normalization : Ensures consistent amplitude across market regimes.
Dynamic Color Engine : Aligns visual cues with structural states (expansion and contraction).
Multi-Factor Analysis : Combines crossover logic, volatility context, and cycle detection for robust outputs.
This layered approach ensures the oscillator is highly responsive without overloading charts with noise.
Optimal Application Parameters
Asset-Specific Guidance:
Forex : Normalize with moderate ATR scaling; focus on slow-line confirmation.
Equities : Balance responsiveness with smoothing; useful for capturing sector rotations.
Cryptocurrency : Higher ATR multipliers recommended due to volatility.
Futures/Indices : Lower frequency settings highlight structural trends.
Timeframe Optimization:
Scalping (1-5min) : Higher sensitivity, prioritize fast-line signals.
Intraday (15m-1h) : Balance between fast/slow expansions.
Swing (4h-Daily) : Focus on slow-line momentum with fast-line timing.
Position (Daily-Weekly) : Slow lines dominate; fast lines highlight cycle shifts.
Performance Characteristics
High Effectiveness:
Trending environments with moderate-to-high volatility.
Assets with steady liquidity and clear cyclical structures.
Reduced Effectiveness:
Flat/choppy conditions with little directional bias.
Ultra-short timeframes (<1m), where noise dominates.
Integration Guidelines
Confluence : Combine with liquidity zones, order blocks, and volume-based indicators for confirmation.
Risk Management : Place stops beyond slow-line thresholds or ATR-defined zones.
Dynamic Trade Management : Use expansions/contractions to scale position sizes or tighten stops.
Multi-Timeframe Confirmation : Filter lower-timeframe entries with higher-timeframe momentum states.
Disclaimer
The SuperSmoother MA Oscillator is an advanced trend and momentum analysis tool, not a guaranteed profit system. Its effectiveness depends on proper parameter settings per asset and disciplined risk management. Traders should use it as part of a broader technical framework and not in isolation.
Simple Pivot Zones (Error-free) — v11. Core Idea
The indicator we built is a “pivot-based zone detector with breakout signals.”
It does three things:
1. Finds important swing highs and swing lows in price (pivots).
2. Creates support and resistance zones around those pivots using volatility (ATR).
3. Watches price action to see if those zones get broken, then gives signals.
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2. What is a Pivot?
A pivot high happens when the price makes a local peak — a bar is higher than the bars around it.
A pivot low happens when the price makes a local dip — a bar is lower than the bars around it.
These are natural turning points in the market, showing where buyers or sellers had strong control temporarily. Traders often use them to draw support (pivot lows) and resistance (pivot highs).
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3. Why Use ATR for Zones?
ATR (Average True Range) measures the average volatility of a market. Instead of drawing just a flat line at the pivot, we create a zone above and below it, sized according to ATR.
Example:
• If ATR is 20 points and zone size is 0.5, then the zone extends 10 points above and below the pivot level.
This turns thin “lines” into thicker areas of interest. Real markets don’t respect razor-thin levels, but zones are more realistic.
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4. How Support & Resistance Zones Work
• Resistance zones are created at pivot highs. They mark where sellers were strong before.
• Support zones are created at pivot lows. They mark where buyers were strong before.
Over time, these zones extend forward until the price interacts with them.
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5. Breakout Detection
The indicator checks whether the price closes beyond the last pivot high or low:
• If price closes above the last pivot high, it means buyers have broken resistance.
• If price closes below the last pivot low, it means sellers have broken support.
These moments are significant because they often trigger trend continuation.
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6. Parameters It Uses
1. Pivot Length – how many bars to look back and forward to confirm a pivot. A higher length makes pivots less frequent but stronger.
2. ATR Length and Multiplier – defines the size of the zones (wider zones in more volatile markets).
3. Max Zones to Keep – avoids clutter by keeping only the most recent zones.
4. Colors & Styling – helps traders visually separate bullish and bearish zones.
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7. How It Helps Traders
• Visual clarity: Instead of guessing support and resistance, the chart automatically highlights them.
• Dynamic adjustment: Zones adapt to volatility using ATR, making them useful in both calm and volatile markets.
• Breakout signals: Traders get notified when price actually breaks key levels, instead of reacting late.
• Cleaner charts: Instead of dozens of hand-drawn lines, the tool manages zones for you, deleting old ones.
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8. The Logic in One Sentence
It finds important swing highs and lows, turns them into support/resistance zones scaled by volatility, and alerts you when the market breaks through them.
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👉 In practice, this helps traders spot where the market is likely to bounce or break, and gives a framework to plan trades — for example, buying on bullish breakouts or selling on bearish breakouts.
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Chartlense Dashboard (Data, Trend & Levels)Chartlense Dashboard (Data, Trend & Levels)
Overview
This dashboard is designed to solve two common problems for traders: chart clutter and the manual drawing of support and resistance levels . It consolidates critical data from multiple indicators into a clean table overlay and automatically plots the most relevant S&R levels based on recent price action. The primary goal is to provide a clear, at-a-glance overview of the market's structure and data.
It offers both a vertical and horizontal layout to fit any trader's workspace.
Key Concepts & Calculations Explained
This indicator is more than a simple collection of values; it synthesizes data to provide unique insights. Here’s a conceptual look at how its core components work:
Automatic Support & Resistance (Pivot-Based):
The dashed support (green) and resistance (red) lines are not manually drawn. They are dynamically calculated based on the most recent confirmed pivot highs and pivot lows . A pivot is a foundational concept in technical analysis that identifies potential turning points in price action.
How it works: A pivot high is a candle whose `high` is higher than a specific number of candles to its left and right (the "Pivot Lookback" is set to 5 by default in the settings). A pivot low is the inverse. By automatically identifying these confirmed structural points, the script visualizes the most relevant levels of potential supply and demand on the chart.
Relative Volume (RVOL):
This value in the table is not the standard volume. It measures the current bar's volume against its recent average (specifically, `current volume / 10-period simple moving average of volume`).
Interpretation: A reading above 2.0 (indicated by green text) suggests that the current volume is more than double the recent average. This technique is used to identify significant volume spikes, which can add conviction to breakouts or signal potential market climaxes.
Consolidated Data for Context:
Other values displayed in the table, such as the EMAs (9, 20, 200) , Bollinger Bands (20, 2) , RSI (14) , MACD (12, 26, 9) , and VWAP (on intraday charts), use their standard industry calculations. They are included to provide a complete contextual picture without needing to load each indicator separately, saving valuable chart space.
How to Use This in Your Trading
This dashboard is designed as a tool for confluence and context , not as a standalone signal generator. Here are some ways to integrate it into your analysis workflow:
As a Trend Filter: Before considering a trade, quickly glance at the EMAs and the MACD values in the table. A price above the key EMAs and a positive MACD can serve as a quick confirmation that you are aligned with the dominant trend.
To Validate Breakouts: When the price is approaching a key Resistance level (red pivot line), watch the RVOL value . A reading above 2.0 on the breakout candle adds significant confirmation that the move is backed by strong interest. The same logic applies to breakdowns below a support level.
To Spot Potential Reversals: Confluence is key. For example, if the price is testing a Support level (green pivot line) AND the RSI in the table is approaching oversold levels (e.g., near 30), it can signal a higher probability reversal setup.
About This Indicator
This indicator was developed by the team at ChartLense to help traders declutter their charts and focus on the data that matters. We believe in making complex analysis more accessible and organized. We hope this free tool is a valuable addition to your trading process.
Parabolic Move Indicator for catching moves with Penny Stocks.
Catch the day’s first big moves! Track premarket gap-ups or gap-downs, then spot early momentum shifts using volume, RSI, VWAP, EMAs, and breakout levels—perfect for acting on strong intraday setups right at market open.
**Description:**
The Parabolic Move Scanner + VWAP Bands + EMAs indicator helps traders identify **high-probability intraday moves**, particularly immediately after market open. It is ideal for stocks that **gap up or down premarket, pull back slightly, and then show renewed strength or weakness** once regular trading begins.
The indicator combines multiple components for precise signals:
* **Relative Volume Filter: ** Highlights bars with unusually high activity to ensure signals are backed by real participation.
* **RSI Momentum Change: ** Detects sudden momentum shifts to identify early strength or weakness.
* **Recent Highs/Lows Breakout: ** Confirms price is breaking short-term resistance or support.
* **VWAP & Standard Deviation Bands: ** Provides intraday trend reference points, with optional daily reset.
* **Exponential Moving Averages (EMAs): ** Tracks trend across short, medium, and long-term intraday periods.
* **Visual Signals: ** Background highlights and horizontal breakout lines make it easy to spot key bars.
* **Alerts: ** Configurable alerts notify you of bullish or bearish parabolic moves.
**Optimal Use Case: **
Use in the first 15–30 minutes after market open at 1 minute Time Frame. Best for **stocks showing a premarket gap followed by a pullback**, then resuming strength (bullish) or weakness (bearish). The combination of **volume, RSI, breakouts, VWAP, and EMAs** ensures you identify the **day’s biggest marktet open moves especially with penny stocks moves** with higher confidence.
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### **Recommended Settings**
**Component** | **Recommended Setting** | **Description / Purpose**
| **Volume Average Length** | 20 bars | Period for calculating average volume to detect relative spikes. |
| **Volume Multiplier** | 2.0 | Current bar volume must exceed 2× average to signal high activity. |
| **RSI Length** | 7 bars | Short-term RSI period to measure momentum changes. |
| **RSI Change Threshold** | 7 | Minimum RSI change required to trigger momentum signal. |
| **Recent Highs Lookback** | 5 bars | Number of bars to check for short-term breakout levels. |
| **Horizontal Line Length** | 10 bars | Length of horizontal breakout line drawn on the chart. |
| **Horizontal Line Color** | Green (bullish) / Red (bearish) | Visual identification of breakout levels. |
| **Horizontal Line Thickness** | 1 | Line width for breakout visualization. |
| **VWAP Source** | hlc3 | Price source for VWAP calculation. |
| **VWAP Bands Multipliers** | 1×, 2×, 3× | Standard deviation multiples for intraday bands.
| **VWAP Daily Reset** | Enabled | Resets VWAP at the start of each trading day.
| **EMA Lengths** | 9, 13, 20, 33, 50 | Short, medium, and long-term EMAs to track intraday trend. |
| **Enable Bearish Signals** | True | Allows detection of bearish parabolic moves. |
|
Previous Candle High/Low (Global Rays)Previous Candle High/Low (Global Rays, Corrected)
This indicator tracks the high and low of the most recently closed candle and projects them forward as global horizontal rays.
Features:
✅ Automatically updates the levels once a candle fully closes.
✅ Draws persistent lines at the previous candle’s high (green) and low (red), extending them into the future.
✅ Highlights real-time breakouts:
✅ Includes built-in alert conditions for both breakout events.
How to Use:
Use the levels as reference points for breakout trades, liquidity sweeps, or stop hunts.
Alerts can help you catch moves without needing to constantly watch the chart.
Works on any timeframe and symbol.
Capiba Ultimate Suite (RSI, MA Cloud & Volatility)
🇬🇧 English
Summary
This indicator, Capiba Ultimate Suite, is a powerful compilation of various open-source technical analysis tools, refined and integrated into a single, cohesive, and functional package. The goal is to provide a complete system with clear entry and exit signals, ideal for traders operating in trending and volatile markets.
The combination of a custom momentum oscillator (Ultimate RSI), a moving average cloud for trend definition, and a volatility oscillator for range analysis transforms this script into a true trading suite.
Disclaimer: This indicator is most effective in markets with a defined trend (bullish or bearish) and may generate less reliable signals during periods of strong consolidation.
Components and How to Use
Ultimate RSI with Crossover Signals (Entries and Exits)
What it is: A variation of the classic RSI, designed to be more reactive to price movements.
Entry Signals (Buy): A green arrow (▲) appears below the candle when the Ultimate RSI line crosses above its momentum line (EMA). This is a signal of a potential start of an upward move.
Exit Signals (Sell): A red arrow (▼) appears above the candle when the Ultimate RSI crosses below its momentum line. This is a signal of potential weakening or trend reversal.
Moving Average Cloud (Trend Filter)
What it is: A cloud formed by the space between a short-term moving average (default 55) and a long-term one (default 233).
How to use for signal validation:
Uptrend: When the cloud is green (Short MA > Long MA), buy signals (▲) are strengthened. Sell signals can be seen as partial profit-taking.
Downtrend: When the cloud is red (Short MA < Long MA), sell signals (▼) are strengthened. Buy signals should be treated with extreme caution as they are against the main trend.
Candle Coloring (Quick Momentum Reading)
Lime Green: Strong bullish momentum (RSI > 50 and above its EMA).
Red: Strong bearish momentum (RSI < 50 and below its EMA).
Blue: Overbought level reached.
Yellow: Oversold level reached.
Volatility Ruler (Breakout Analysis)
What it is: The green (high) and red (low) lines mark the range of the last 'N' candles. The Vol: X.XX label on the right measures the current volatility against its historical average.
How to use:
Vol < 1.00: Contracting volatility ("Squeeze"). The market is "coiling the spring." Watch for an impending breakout of the range lines.
Vol > 1.00: Expanding volatility. Confirms the strength of a breakout that has already occurred. Very high values may indicate exhaustion.
Use the ruler to identify false breakouts: a candle closing outside the line but with a very low Vol value is more likely to be a false signal.
Acknowledgements
This indicator is the result of compiling and adapting open-source concepts and codes available in the TradingView community. Thanks to all the developers who share their knowledge.
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Linh's Anomaly Radar v2What this script does
It’s an event detector for price/volume anomalies that often precede or confirm moves.
It watches a bunch of patterns (Wyckoff tests, squeezes, failed breakouts, turnover bursts, etc.), applies robust z-scores, optional trend filters, cooldowns (to avoid spam), and then fires:
A shape/label on the bar,
A row in the mini panel (top-right),
A ready-made alertcondition you can hook into.
How to add & set up (TradingView)
Paste the script → Save → Add to chart on Daily first (works on any TF).
Open Settings → Inputs:
General
• Use Robust Z (MAD): more outlier-resistant; keep on.
• Z Lookback: 60 bars is ~3 months; bump to 120 for slower regimes.
• Cooldown: min bars to wait before the same signal can fire again (default 5).
• Use trend filter: if on, “bullish” signals only fire above SMA(tfLen), “bearish” below.
Thresholds: fine-tune sensitivity (defaults are sane).
To create alerts: Right-click chart → Add alert
Condition: Linh’s Anomaly Radar v2 → choose a specific signal or Composite (Σ).
Options: “Once per bar close” (recommended).
Customize message if you want ticker/timeframe in your phone push.
The mini panel (top-right)
Signal column: short code (see cheat sheet below).
Fired column: a dot “•” means that on the latest bar this signal fired.
Score (right column): total count of signals that fired this bar.
Σ≥N shows your composite threshold (how many must fire to trigger the “Composite” alert).
Shapes & codes (what’s what)
Code Name (category) What it’s looking for Why it matters
STL Stealth Volume z(volume)>5 & ** z(return)
EVR Effort vs Result squeeze z(vol)>3 & z(TR)<−0.5 Heavy effort, tiny spread → absorption
TGV Tight+Heavy (HL/ATR)<0.6 & z(vol)>3 Tight bar + heavy tape → pro activity
CLS Accumulation cluster ≥3 of last 5 bars: up, vol↑, close near high Classic accumulation footprint
GAP Open drive failure Big gap not filled (≥80%) & vol↑ One-sided open stalls → fade risk
BB↑ BB squeeze breakout Squeeze (z(BBWidth)<−1.3) → close > upperBB & vol↑ Regime shift with confirmation
ER↑ Effort→Result inversion Down day on vol then next bar > prior high Demand overwhelms supply
OBV OBV divergence OBV slope up & ** z(ret20)
WER Wide Effort, Opposite Result z(vol)>3, close+1 Selling into strength / distribution
NS No-Supply (Wyckoff) Down bar, HL<0.6·ATR, vol << avg Sellers absent into weakness
ND No-Demand (Wyckoff) Up bar, HL<0.6·ATR, vol << avg Buyers absent into strength
VAC Liquidity Vacuum z(vol)<−1.5 & ** z(ret)
UTD UTAD (failed breakout) Breaks swing-high, closes back below, vol↑ Stop-run, reversal risk
SPR Spring (failed breakdown) Breaks swing-low, closes back above, vol↑ Bear trap, reversal risk
PIV Pocket Pivot Up bar; vol > max down-vol in lookback Quiet base → sudden demand
NR7 Narrow Range 7 + Vol HL is 7-bar low & z(vol)>2 Coiled spring with participation
52W 52-wk breakout quality New 52-wk close high + squeeze + vol↑ High-quality breakouts
VvK Vol-of-Vol kink z(ATR20,200)>0.5 & z(ATR5,60)<0 Long-vol wakes up, short-vol compresses
TAC Turnover acceleration SMA3 vol / SMA20 vol > 1.8 & muted return Participation surging before move
RBd RSI Bullish div Price LL, RSI HL, vol z>1 Exhaustion of sellers
RS↑ RSI Bearish div Price HH, RSI LH, vol z>1 Exhaustion of buyers
Σ Composite Count of all fired signals ≥ threshold High-conviction bar
Placement:
Triangles up (below bar) → bullish-leaning events.
Triangles down (above bar) → bearish-leaning events.
Circles → neutral context (VAC, VvK, Composite).
Key inputs (quick reference)
General
Use Robust Z (MAD): keep on for noisy tickers.
Z Lookback (lenZ): 60 default; 120 if you want fewer alerts.
Trend filter: when on, bullish signals require close > SMA(tfLen), bearish require <.
Cooldown: prevents repeated firing of the same signal within N bars.
Phase-1 thresholds (core)
Stealth: vol z > 5, |ret z| < 1.
EVR: vol z > 3, TR z < −0.5.
Tight+Heavy: (HL/ATR) < 0.6, vol z > 3.
Cluster: window=5, min=3 strong bars.
GapFail: gap/ATR ≥1.5, fill <80%, vol z > 2.
BB Squeeze: z(BBWidth)<−1.3 then breakout with vol z > 2.
Eff→Res Up: prev bar heavy down → current bar > prior high.
OBV Div: OBV uptrend + |z(ret20)|<0.3.
Phase-2 thresholds (extras)
WER: vol z > 3, close1.
No-Supply/No-Demand: tight bar & very light volume vs SMA20.
Vacuum: vol z < −1.5, |ret z|>1.5.
UTAD/Spring: swing lookback N (default 20), vol z > 2.
Pocket Pivot: lookback for prior down-vol max (default 10).
NR7: 7-bar narrowest range + vol z > 2.
52W Quality: new 52-wk high + squeeze + vol z > 2.
VoV Kink: z(ATR20,200)>0.5 AND z(ATR5,60)<0.
Turnover Accel: SMA3/SMA20 > 1.8 and |ret z|<1.
RSI Divergences: compare to n bars back (default 14).
How to use it (playbooks)
A) Daily scan workflow
Run on Daily for your VN watchlist.
Turn Composite (Σ) alert on with Σ≥2 or ≥3 to reduce noise.
When a bar fires Σ (or a fav combo like STL + BB↑), drop to 60-min to time entries.
B) Breakout quality check
Look for 52W together with BB↑, TAC, and OBV.
If WER/ND appear near highs → downgrade the breakout.
C) Spring/UTAD reversals
If SPR fires near major support and RBd confirms → long bias with stop below spring low.
If UTD + WER/RS↑ near resistance → short/fade with stop above UTAD high.
D) Accumulation basing
During bases, you want CLS, OBV, TGV, STL, NR7.
A pocket pivot (PIV) can be your early add; manage risk below base lows.
Tuning tips
Too many signals? Raise stealthVolZ to 5.5–6, evrVolZ to 3.5, use Σ≥3.
Fast movers? Lower bbwZthr to −1.0 (less strict squeeze), keep trend filter on.
Illiquid tickers? Keep MAD z-scores on, increase lookbacks (e.g., lenZ=120).
Limitations & good habits
First lenZ bars on a new symbol are less reliable (incomplete z-window).
Some ideas (VWAP magnet, close auction spikes, ETF/foreign flows, options skew) need intraday/external feeds — not included here.
Pine can’t “screen” across the whole market; set alerts or cycle your watchlist.
Quick troubleshooting
Compilation errors: make sure you’re on Pine v6; don’t nest functions in if blocks; each var int must be declared on its own line.
No shapes firing: check trend filter (maybe price is below SMA and you’re waiting for bullish signals), and verify thresholds aren’t too strict.
Hurst Exponent Adaptive Filter (HEAF) [PhenLabs]📊 PhenLabs - Hurst Exponent Adaptive Filter (HEAF)
Version: PineScript™ v6
📌 Description
The Hurst Exponent Adaptive Filter (HEAF) is an advanced Pine Script indicator designed to dynamically adjust moving average calculations based on real time market regimes detected through the Hurst Exponent. The intention behind the creation of this indicator was not a buy/sell indicator but rather a tool to help sharpen traders ability to distinguish regimes in the market mathematically rather than guessing. By analyzing price persistence, it identifies whether the market is trending, mean-reverting, or exhibiting random walk behavior, automatically adapting the MA length to provide more responsive alerts in volatile conditions and smoother outputs in stable ones. This helps traders avoid false signals in choppy markets and capitalize on strong trends, making it ideal for adaptive trading strategies across various timeframes and assets.
Unlike traditional moving averages, HEAF incorporates fractal dimension analysis via the Hurst Exponent to create a self-tuning filter that evolves with market conditions. Traders benefit from visual cues like color coded regimes, adaptive bands for volatility channels, and an information panel that suggests appropriate strategies, enhancing decision making without constant manual adjustments by the user.
🚀 Points of Innovation
Dynamic MA length adjustment using Hurst Exponent for regime-aware filtering, reducing lag in trends and noise in ranges.
Integrated market regime classification (trending, mean-reverting, random) with visual and alert-based notifications.
Customizable color themes and adaptive bands that incorporate ATR for volatility-adjusted channels.
Built-in information panel providing real-time strategy recommendations based on detected regimes.
Power sensitivity parameter to fine-tune adaptation aggressiveness, allowing personalization for different trading styles.
Support for multiple MA types (EMA, SMA, WMA) within an adaptive framework.
🔧 Core Components
Hurst Exponent Calculation: Computes the fractal dimension of price series over a user-defined lookback to detect market persistence or anti-persistence.
Adaptive Length Mechanism: Maps Hurst values to MA lengths between minimum and maximum bounds, using a power function for sensitivity control.
Moving Average Engine: Applies the chosen MA type (EMA, SMA, or WMA) to the adaptive length for the core filter line.
Adaptive Bands: Creates upper and lower channels using ATR multiplied by a band factor, scaled to the current adaptive length.
Regime Detection: Classifies market state with thresholds (e.g., >0.55 for trending) and triggers alerts on regime changes.
Visualization System: Includes gradient fills, regime-colored MA lines, and an info panel for at-a-glance insights.
🔥 Key Features
Regime-Adaptive Filtering: Automatically shortens MA in mean-reverting markets for quick responses and lengthens it in trends for smoother signals, helping traders stay aligned with market dynamics.
Custom Alerts: Notifies on regime shifts and band breakouts, enabling timely strategy adjustments like switching to trend-following in bullish regimes.
Visual Enhancements: Color-coded MA lines, gradient band fills, and an optional info panel that displays market state and trading tips, improving chart readability.
Flexible Settings: Adjustable lookback, min/max lengths, sensitivity power, MA type, and themes to suit various assets and timeframes.
Band Breakout Signals: Highlights potential overbought/oversold conditions via ATR-based channels, useful for entry/exit timing.
🎨 Visualization
Main Adaptive MA Line: Plotted with regime-based colors (e.g., green for trending) to visually indicate market state and filter position relative to price.
Adaptive Bands: Upper and lower lines with gradient fills between them, showing volatility channels that widen in random regimes and tighten in trends.
Price vs. MA Fills: Color-coded areas between price and MA (e.g., bullish green above MA in trending modes) for quick trend strength assessment.
Information Panel: Top-right table displaying current regime (e.g., "Trending Market") and strategy suggestions like "Follow trends" or "Trade ranges."
📖 Usage Guidelines
Core Settings
Hurst Lookback Period
Default: 100
Range: 20-500
Description: Sets the period for Hurst Exponent calculation; longer values provide more stable regime detection but may lag, while shorter ones are more responsive to recent changes.
Minimum MA Length
Default: 10
Range: 5-50
Description: Defines the shortest possible adaptive MA length, ideal for fast responses in mean-reverting conditions.
Maximum MA Length
Default: 200
Range: 50-500
Description: Sets the longest adaptive MA length for smoothing in strong trends; adjust based on asset volatility.
Sensitivity Power
Default: 2.0
Range: 1.0-5.0
Description: Controls how aggressively the length adapts to Hurst changes; higher values make it more sensitive to regime shifts.
MA Type
Default: EMA
Options: EMA, SMA, WMA
Description: Chooses the moving average calculation method; EMA is more responsive, while SMA/WMA offer different weighting.
🖼️ Visual Settings
Show Adaptive Bands
Default: True
Description: Toggles visibility of upper/lower bands for volatility channels.
Band Multiplier
Default: 1.5
Range: 0.5-3.0
Description: Scales band width using ATR; higher values create wider channels for conservative signals.
Show Information Panel
Default: True
Description: Displays regime info and strategy tips in a top-right panel.
MA Line Width
Default: 2
Range: 1-5
Description: Adjusts thickness of the main MA line for better visibility.
Color Theme
Default: Blue
Options: Blue, Classic, Dark Purple, Vibrant
Description: Selects color scheme for MA, bands, and fills to match user preferences.
🚨 Alert Settings
Enable Alerts
Default: True
Description: Activates notifications for regime changes and band breakouts.
✅ Best Use Cases
Trend-Following Strategies: In detected trending regimes, use the adaptive MA as a trailing stop or entry filter for momentum trades.
Range Trading: During mean-reverting periods, monitor band breakouts for buying dips or selling rallies within channels.
Risk Management in Random Markets: Reduce exposure when random walk is detected, using tight stops suggested in the info panel.
Multi-Timeframe Analysis: Apply on higher timeframes for regime confirmation, then drill down to lower ones for entries.
Volatility-Based Entries: Use upper/lower band crossovers as signals in adaptive channels for overbought/oversold trades.
⚠️ Limitations
Lagging in Transitions: Regime detection may delay during rapid market shifts, requiring confirmation from other tools.
Not a Standalone System: Best used in conjunction with other indicators; random regimes can lead to whipsaws if traded aggressively.
Parameter Sensitivity: Optimal settings vary by asset and timeframe, necessitating backtesting.
💡 What Makes This Unique
Hurst-Driven Adaptation: Unlike static MAs, it uses fractal analysis to self-tune, providing regime-specific filtering that's rare in standard indicators.
Integrated Strategy Guidance: The info panel offers actionable tips tied to regimes, bridging analysis and execution.
Multi-Regime Visualization: Combines adaptive bands, colored fills, and alerts in one tool for comprehensive market state awareness.
🔬 How It Works
Hurst Exponent Computation:
Calculates log returns over the lookback period to derive the rescaled range (R/S) ratio.
Normalizes to a 0-1 value, where >0.55 indicates trending, <0.45 mean-reverting, and in-between random.
Length Adaptation:
Maps normalized Hurst to an MA length via a power function, clamping between min and max.
Applies the selected MA type to close prices using this dynamic length.
Visualization and Signals:
Plots the MA with regime colors, adds ATR-based bands, and fills areas for trend strength.
Triggers alerts on regime changes or band crosses, with the info panel suggesting strategies like momentum riding in trends.
💡 Note:
For optimal results, backtest settings on your preferred assets and combine with volume or momentum indicators. Remember, no indicator guarantees profits—use with proper risk management. Access premium features and support at PhenLabs.
Candle Channel█ OVERVIEW
The "Candle Channel" indicator is a versatile technical analysis tool that plots a price channel based on the Simple Moving Average (SMA) of candlestick midpoints. The channel bands, calculated based on candlestick volatility, form dynamic support and resistance levels that adapt to price movements. The script generates signals for reversals from the bands and SMA breakouts, making it useful for both short-term and long-term traders. By adjusting the SMA length, the channel can vary in nature—from a wide channel encapsulating price movement to narrower support/resistance or trend-following bands. The channel width can be further customized using a scaling parameter, allowing adaptation to different trading styles and markets.
█ MECHANISM
Band Calculation
The indicator is based on the following calculations:
Candlestick Midpoint: Calculated as the arithmetic average of the candle’s high and low prices: (high + low) / 2.
Simple Moving Average (SMA): The average of candlestick midpoints over a specified length (default: 20 candles), forming the channel’s centerline.
Average Candle Height: Calculated as the average difference between the high and low prices (high - low) over the same SMA length, serving as a measure of market volatility.
Band Scaling: The user specifies a percentage of the average candle height (default: 200%), which is multiplied by the average height to create an offset. The upper band is SMA + offset, and the lower band is SMA - offset.Example: For an average candle height of 10 points and 200% scaling, the offset is 20 points, meaning the bands are ±20 points from the SMA.
Channel Characteristics: The SMA length determines the channel’s dynamics. Shorter SMA values (10–30) create a wide channel that contains price movement, ideal for scalping or short-term trading. Longer SMA values (above 30, e.g., 50–100) transform the channel into narrower support/resistance or trend-following bands, suitable for longer-term analysis. Band scaling further adjusts the channel width to match market volatility.
Signals
Reversal from Bands: Signals are generated when the price closes outside the band (above the upper or below the lower) and then returns to the channel, indicating a potential trend reversal.
SMA Breakout: Signals are generated when the price crosses the SMA upward (bullish signal) or downward (bearish signal), suggesting potential trend changes.
Visualization
Centerline: The SMA of candlestick midpoints, displayed as a thin line.
Channel Bands: Upper and lower channel boundaries, with customizable colors.
Fill: Options include a gradient (smooth color transition between bands) or solid color. The fill can also be disabled for greater clarity.
█ FEATURES AND SETTINGS
SMA Length: Determines the moving average period (default: 20). Values of 10–30 are suitable for a wide channel containing price movement, ideal for short-term timeframes. Longer values (e.g., 50–100) create narrower support/resistance or trend-following bands, better suited for higher timeframes.
Band Scaling: Percentage of the average candle height (default: 200%). Adjusts the channel width to match market volatility—smaller values (e.g., 50–100%) for narrower bands, larger values (e.g., 200–300%) for wider channels.
Fill Type: Gradient, solid, or no fill, allowing customization to user preferences.
Colors: Options to change the colors of bands, fill, and signals for better readability.
Signals: Options to enable/disable reversal signals from bands and SMA breakout signals.
█ HOW TO USE
Add the script to your chart in TradingView by clicking "Add to Chart" in the Pine Editor.
Adjust input parameters in the script settings:
SMA Length: Set to 10–30 for a wide channel containing price movement, suitable for scalping or short-term trading. Set above 30 (e.g., 50–100) for narrower support/resistance or trend-following bands.
Band Scaling: Adjust the channel width to market volatility. Smaller values (50–100%) for tighter support/resistance bands, larger values (200–300%) for wider channels containing price movement.
Fill Type and Colors: Choose a gradient for aesthetics or a solid fill for clarity.
Analyze signals:
Reversal Signals: Triangles above (bearish) or below (bullish) candles indicate potential reversal points.
SMA Breakout Signals: Circles above (bearish) or below (bullish) candles indicate trend changes.
Test the indicator on different instruments and timeframes to find optimal settings for your trading style.
█ LIMITATIONS
The indicator may generate false signals in highly volatile or consolidating markets.
On low-liquidity charts (e.g., exotic currency pairs), the bands may be less reliable.
Effectiveness depends on properly matching parameters to the market and timeframe.
Multi Pivot Point & Central Pivot Range - Nadeem Al-QahwiThis indicator combines four advanced trading modules into one flexible and easy-to-use script:
Traditional Pivot Points:
Calculates classic support and resistance levels (PP, R1–R5, S1–S5) based on previous session data. Ideal for identifying key turning points and mapping out the daily, weekly, or monthly structure.
Camarilla Levels:
Provides six upper and lower pivot levels (H1–H6, L1–L6) derived from volatility and closing price formulas. Especially effective for intraday reversal, mean reversion, and finding overbought/oversold extremes.
Central Pivot Range (CPR):
Plots the median, top, and bottom of the value area each session. CPR width instantly highlights whether the market is likely to trend (narrow CPR) or remain range-bound (wide CPR).
Developing CPR projects the evolving range for the current period—essential for real-time analysis and pre-market planning.
Dynamic Zone Levels (DZL):
Automatically detects and highlights clusters of pivots to reveal high-probability support/resistance zones, filtering out market “noise.”
DZL alerts notify you whenever price breaks or retests these key areas, making it easier to spot momentum trades and avoid false signals.
Key Features:
Multi-timeframe flexibility: Use with daily, weekly, monthly, yearly, or custom timeframes—even rare ones like biyearly and decennial.
Modular design: Activate or hide any system (Traditional, Camarilla, CPR, DZL) as you need.
Bilingual interface: Every setting and label is shown in both English and Arabic.
Full customization: Control visibility, color, style, and placement for every level and label.
Historical depth: Plot up to 5,000 pivot/zones back for deep analysis and backtesting.
Smart alerts: Get instant notifications on true S/R breakouts or retests (from DZL).
How to Use:
Trend Trading:
Watch for a very narrow CPR to identify potential trending days—trade in the breakout direction above/below the CPR.
Range Trading:
When CPR is wide, expect sideways movement. Fade reversals at R1/S1 or within the CPR boundaries.
Breakouts:
Use DZL alerts to capture momentum as price breaks or retests dynamic support/resistance zones.
Multi-Timeframe Confluence:
Combine CPR and pivot levels from multiple timeframes for higher-probability entries and exits.
All calculations and logic are fully open.
Expansion Triangle [TradingFinder] MegaPhone Broadening🔵 Introduction
The Expanding Triangle, also known as the Broadening Formation, is one of the key technical analysis patterns that clearly reflects growing market volatility, increasing indecision among participants, and the potential for sharp price explosions.
This pattern is typically defined by a sequence of higher highs and lower lows, forming within two diverging trendlines. Unlike traditional triangles that converge to a breakout point, the expanding triangle pattern becomes wider over time, leaving no precise apex for a breakout to occur.
From a price action perspective, the pattern represents a prolonged tug-of-war between buyers and sellers, where neither side has taken control yet. Each aggressive swing opens the door to new opportunities whether it's a trend reversal, range trading, or a momentum breakout. This dual nature makes the pattern highly versatile across market conditions, from exhausted trend ends to volatile consolidation zones.
The custom-built indicator for this pattern uses a combination of smart algorithms and detailed analysis of swing dynamics to automatically detect expanding triangles and highlight low-risk entry points.
Traders can use this tool to capitalize on high-probability setups from shorting near the upper edge of the structure with confirmation, to trading bearish breakouts during trend continuations, or entering long positions near the lower boundary during bullish reversals. The chart examples included in this article demonstrate these three highly practical trading scenarios in live market conditions.
A major advantage of this indicator lies in its structural filtering engine, which analyzes the behavior of each price leg in the triangle. With four adjustable filter levels from Very Aggressive, which highlights all potential patterns, to Very Defensive, which only triggers when price actually touches the triangle's trendlines the indicator ensures that only structurally sound and verified setups appear on the chart, reducing noise and false signals significantly.
Long Setup :
Short Setup :
🔵 How to Use
The pattern typically forms in conditions of heightened uncertainty and volatility, where price swings generate a series of higher highs and lower lows. The expanding triangle consists of three key legs bounded by diverging trendlines. The indicator intelligently analyzes each leg's direction and angle to determine whether a valid pattern is forming.
At the core of the indicator’s logic is its leg filtering system, which controls the quality of the pattern and filters out weak or noisy setups. Four structural filter modes are available to suit different trading styles and risk preferences. In Very Aggressive mode, filters are disabled, and the indicator detects any pattern purely based on the sequence of swing points.
This mode is ideal for traders who want to see everything and apply their own discretion.
In Aggressive mode, the indicator checks whether each new leg extends no more than twice the length of the previous one. If a leg overshoots excessively, the structure is invalidated.
In Defensive mode, the filter enforces a minimum movement requirement each leg must move at least 2% of the previous one. This prevents the formation of shallow, weak patterns that visually resemble triangles but lack substance.
The strictest setting, Very Defensive, combines all previous filters and additionally requires the price to physically touch the triangle’s trendlines before issuing a signal. This ensures that setups only appear when real market interaction with key structural levels has occurred, not based on assumptions or geometry alone. This mode is ideal for traders seeking maximum precision and minimal risk.
🟣 Bullish Setup
A bullish setup within the Expanding Triangle pattern occurs when price revisits the lower support boundary after a series of broad swings typically near the third leg of the formation. This area often represents a shift in momentum, where sellers begin to lose strength and buyers prepare to take control.
Ideally, the setup is accompanied by a bullish reversal candle (e.g. doji, pin bar, or engulfing) near the lower trendline. If the Very Defensive filter is active, the indicator will only issue a signal if price makes a confirmed touch on the trendline and reacts from that level. This significantly improves signal accuracy and filters out premature entries.
After confirmation, traders may choose to enter a long position on the bullish candle or shortly afterward. A logical stop-loss is placed just below the recent swing low within the pattern. The target can be set at or near the upper trendline, or projected using the full height of the triangle added to the breakout point. On higher timeframes, this reversal often marks the beginning of a strong uptrend.
🟣 Bearish Setup
A bearish setup forms when price climbs toward the upper resistance trendline, usually as the third leg completes. This is where buyers often begin to show exhaustion, and sellers step in with strength providing an ideal low-risk entry point for short positions.
As with the bullish setup, if the Candle Confirmation filter is enabled, the indicator will only show a signal when a bearish reversal candle forms at the point of contact. If Defensive or Very Defensive filters are also active, the setup must meet strict criteria of proportionate leg movement and an actual trendline touch to qualify.
Once confirmed, traders can enter on the reversal candle, placing a stop-loss slightly above the recent high. The target can be set at the lower trendline or calculated based on the triangle's full height, projected downward. This setup is particularly useful at the end of weak bullish trends or in volatile market tops.
🔵 Settings
🟣 Logic Settings
Pivot Period : Defines how many bars are analyzed to identify swing highs and lows. Higher values detect larger, slower structures, while lower values respond to faster patterns. The default value of 13 offers a balanced sensitivity.
Pattern Filter :
Very Aggressive : Detects all patterns based on point sequence with no structural checks.
Aggressive : Ensures each leg is no more than 2x the size of the previous one.
Defensive : Requires each leg to be at least 2% the size of the previous leg.
Very Defensive : The strictest level; only confirms patterns when price touches trendlines.
Candle Confirmation : When enabled, the indicator requires a valid confirmation candle (doji, pin bar, engulfing) at the interaction point with the trendline before issuing a signal. This reduces false entries and improves entry precision.
🟣 Alert Settings
Alert : Enables alerts for SSS.
Message Frequency : Determines the frequency of alerts. Options include 'All' (every function call), 'Once Per Bar' (first call within the bar), and 'Once Per Bar Close' (final script execution of the real-time bar). Default is 'Once per Bar'.
Show Alert Time by Time Zone : Configures the time zone for alert messages. Default is 'UTC'.
🔵 Conclusion
The Expanding Triangle pattern, with its wide structure and volatility-driven nature, represents chaos but also opportunity. For traders who can read its behavior, it provides some of the most powerful setups for reversals, breakouts, and range-based trades. While the pattern may seem messy at first glance, it is built on clear logic and when properly detected, it offers high-probability opportunities.
This indicator doesn’t just draw expanding triangles it intelligently evaluates their structural quality, validates price interaction through candle confirmation, and allows the trader to fine-tune the detection logic through adjustable filter levels. Whether you’re a reversal trader looking for a turning point, or a breakout trader hunting momentum, this tool adapts to your strategy.
In volatile or uncertain markets, where fakeouts and sudden shifts are common, this indicator can become a cornerstone of your trading system helping you turn volatility into structured, high-quality opportunities.
Volume Overbought/Oversold Zones📊 What You’ll See on the Chart
Red Background or Red Triangle ABOVE a Candle
🔺 Means: Overbought Volume
→ Volume on that bar is much higher than average (as defined by your settings).
→ Suggests strong activity, possible exhaustion in the trend or an emotional spike.
→ It’s a warning: consider watching for signs of reversal, especially if price is already stretched.
Green Background or Green Triangle BELOW a Candle
🔻 Means: Oversold Volume
→ Volume on that bar is much lower than normal.
→ Suggests the market may be losing momentum, or few sellers are left.
→ Could signal an upcoming reversal or recovery if confirmed by price action.
Orange Line Below the Candles (Volume Moving Average)
📈 Shows the "normal" average volume over the last X candles (default is 20).
→ Helps you visually compare each bar’s volume to the average.
Gray Columns (Actual Volume Bars)
📊 These are your regular volume bars — they rise and fall based on how active each candle is.
🔍 What This Indicator Does (In Simple Words)
This indicator looks at trading volume—which is how many shares/contracts were traded in a given period—and compares it to what's considered "normal" for recent history. When volume is unusually high or low, it highlights those moments on the chart.
It tells you:
• When volume is much higher than normal → market might be overheated or experiencing a buying/selling frenzy.
• When volume is much lower than normal → market might be quiet, potentially indicating lack of interest or indecision.
These conditions are marked visually, so you can instantly spot them.
💡 How It Helps You As a Trader
1. Spotting Exhaustion in Trends (Overbought Signals)
If a market is going up and suddenly volume spikes way above normal, it may mean:
• The move is getting crowded (lots of buyers are already in).
• A reversal or pullback could be near because smart money may be taking profits.
Trading idea: Wait for high-volume up bars, then look for price weakness to consider a short or exit.
2. Identifying Hidden Opportunities (Oversold Signals)
If price is falling but volume drops unusually low, it might mean:
• Panic is fading.
• Sellers are losing energy.
• A bounce or trend reversal could happen soon.
Trading idea: After a volume drop in a downtrend, watch for bullish price patterns or momentum shifts to consider a buy.
3. Confirming or Doubting Breakouts
Volume is critical for confirming breakouts:
• If price breaks a key level with strong volume, it's more likely to continue.
• A breakout without volume could be a fake-out.
This indicator highlights volume surges that can help you confirm such moves.
📈 How to Use It in Practice
• Combine it with candlestick patterns, support/resistance, or momentum indicators.
• Use the background colors or shapes as a visual cue to pause and analyze.
• Adjust the sensitivity to suit fast-moving markets (like crypto) or slow ones (like large-cap stocks).
Initial balance - weeklyWeekly Initial Balance (IB) — Indicator Description
The Weekly Initial Balance (IB) is the price range (High–Low) established during the week’s first trading session (most commonly Monday). You can measure it over the entire day or just the first X hours (e.g. 60 or 120 minutes). Once that session ends, the IB High and IB Low define the key levels where the initial weekly range formed.
Why Measure the Weekly IB?
Week-Opening Sentiment:
Monday’s range often sets the tone for the rest of the week. Trading above the IB High signals bullish control; trading below the IB Low signals bearish control.
Key Liquidity Zones:
Large institutions tend to place orders around these extremes, so you’ll frequently see tests, breakouts, or rejections at these levels.
Support & Resistance:
The IB High and IB Low become natural barriers. Price will often return to them, bounce off them, or break through them—ideal spots for entries and exits.
Volatility Forecast:
The width of the IB (High minus Low) indicates whether to expect a volatile week (wide IB) or a quieter one (narrow IB).
Significance of IB Levels
Breakout:
A clear break above the IB High (for longs) or below the IB Low (for shorts) can ignite a strong trending move.
Fade:
A rejection off the IB High/Low during low momentum (e.g. low volume or pin-bar formations) offers a high-probability reversal trade.
Mid-Point:
The 50% level of the IB range often “magnetizes” price back to it, providing entry points for continuation or reversal strategies.
Three Core Monday IB Strategies
A. Breakout (Open-Range Breakout)
Entry: Wait for 1–2 candles (e.g. 5-minute) to close above IB High (long) or below IB Low (short).
Stop-Loss: A few pips below IB High (long) or above IB Low (short).
Profit-Target: 2–3× your risk (Reward:Risk ≥ 2:1).
Best When: You spot a clear impulse—such as a strong pre-open volume spike or news-driven move.
B. Fade (Reversal at Extremes)
Entry: When price tests IB High but shows weakening momentum (shrinking volume, upper-wick candles), enter short; vice versa for IB Low and longs.
Stop-Loss: Just beyond the IB extreme you’re fading.
Profit-Target: Back toward the IB mid-point (50% level) or all the way to the opposite IB extreme.
Best When: Monday’s action is range-bound and lacks a clear directional trend.
C. Mid-Point Trading
Entry: When price returns to the 50% level of the IB range.
In an up-trend: buy if it bounces off mid-point back toward IB High.
In a down-trend: sell if it reverses off mid-point back toward IB Low.
Stop-Loss: Just below the nearest swing-low (for longs) or above the nearest swing-high (for shorts).
Profit-Target: To the corresponding IB extreme (High or Low).
Best When: You see a strong initial move away from the IB, followed by a pullback to the mid-point.
Usage Steps
Configure your session: Measure IB over your chosen Monday timeframe (whole day or first X hours).
Choose your strategy: Align Breakout, Fade, or Mid-Point entries with the current market context (trend vs. range).
Manage risk: Keep risk per trade ≤ 1% of account and maintain at least a 2:1 Reward:Risk ratio.
Backtest & forward-test: Verify performance over multiple Mondays and in a paper-trading environment before going live.
